Method for evaluating vein blood vessel state

Abstract

The invention discloses a method for evaluating a vein blood vessel state, which comprises the following steps of: through combination of vein blood flow maps S3f1 and S3f2 and combination of spectrograms S6f1 and S6f2, generating penetration of different degrees on cell membranes by utilizing excitation of different frequencies, and acquiring more physiological information; strong feature extraction capability of the machine vision CNN network and attention of an attention mechanism on important information of the network can analyze a vein blood flow map signal from a higher dimension, more information can be obtained, information contained in two CNN models and capillary liquid self-balance is comprehensively fused through a logistic regression model, the degree of vascular occlusion is better judged, The model accuracy is improved.

Description

technical field [0001] The invention relates to the technical field of medical devices, in particular to a method for evaluating the state of venous blood vessels. Background technique [0002] At present, venous thromboembolism is one of the serious complications of pregnant women, including two types of deep vein thrombosis and pulmonary embolism, and is a fatal disease that seriously threatens the life safety of mothers and fetuses. [0003] With the resurgence of bioelectrical impedance technology and machine learning, venous flow mapping has received renewed attention for assessing vascular status. [0004] Because the internal environment of the human body is very complex, individual differences are large, and different people have different health status, waveforms and waveform indicators are also different. At present, the evaluation of venous blood vessel status is basically based on the judgment of doctors' experience. Due to the weak and sensitive blood flow diagr...

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Problems solved by technology

[0005] The purpose of the present invention is to provide a method for evaluating the state of venous blood vessels, aiming to solve the problem in the prior art that the evaluation of the state of venous blood vessels is basically based on the judgment of doctors’ experience. Due to the weak and sensitive blood flow diagram signals, muscle shaking, and tension, it will cause bleeding. Distortion of the flow map signal, which will affect the technical problem of the assessment accuracy of the venous blood vessel status

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